76 to 100 of 3,801 SQL Jobs in the UK

domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modeling workflows. ML Ops & deployment: Familiarity with deploying models into ...

domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modeling workflows. ML Ops & deployment: Familiarity with deploying models into ...

test-driven development principles for data quality and schema validation. Optimise pipelines to reduce processing time and compute costs. Develop modular, reusable transformations using SQL and Python. Implement CI/CD pipelines and manage deployments via Git. Automate workflows using orchestration tools such as Airflow or dbt Cloud. Configure … Skills & Experience 7+ years in data engineering roles. 3+ years hands-on experience with Snowflake. 2+ years production experience with dbt (mandatory). Advanced SQL and strong Python programming skills. Experience with Git, CI/CD, and DevOps practices. Familiarity with ETL/ELT tools and cloud platforms (AWS, Azure ...

with: Education: A good educational background, ideally a 2:1 Honours degree or equivalent . Technical Expertise: Extensive experience using spreadsheets and databases (including SQL ) to manipulate and analyse large datasets. Proven ability to develop reports and dashboards in Power BI . Familiarity with tools such as Python , MS SQL ...

Experience Required: Proven experience using Talend Data Integration in a data engineering role. Strong knowledge of AWS services (S3, Glue, Redshift, Spectrum). Solid SQL skills and experience in data warehousing and ETL best practices. Experience working with REST/SOAP APIs for data ingestion. Understanding of data governance principles. ...

analysis. Design, prototype, benchmark and deploy scalable AI/ML solutions. Build and validate models with modern tools and frameworks. Analyse data with Python, SQL, ML/DL libraries, and deliver actionable insights. Visualise results and tell stories through dashboards (Tableau/Power BI). Operationalise models using MLOps, version ...

analysis. Design, prototype, benchmark and deploy scalable AI/ML solutions. Build and validate models with modern tools and frameworks. Analyse data with Python, SQL, ML/DL libraries, and deliver actionable insights. Visualise results and tell stories through dashboards (Tableau/Power BI). Operationalise models using MLOps, version ...

learn new technologies or concepts quickly: Deep experience with Databricks on Microsoft Azure, including Delta Lake, Unity Catalog, Delta Live Tables, PySpark and Databricks SQL, alongside complementary services such as Azure Data Factory, Synapse Analytics, and Microsoft Fabric. Designing and implementing Lakehouse architectures in Databricks to unify data warehousing … broadcast joins) to deliver performant solutions for big data workloads. Advanced knowledge of BI and visualization tools such as Power BI, integrated with Databricks SQL endpoints for interactive reporting and dashboards. Strong understanding of statistical methods and ML frameworks (MLflow, scikit-learn, TensorFlow) for predictive modelling, experiment tracking, and deployment ...

Power BI, Power Apps, Power Automate) Strong stakeholder management and communication skills Experience working in Agile, cross-functional teams Desirable Experience with Microsoft Fabric SQL, Python or R for advanced analytics CI/CD pipelines and version control (e.g. Git) Microsoft certifications (PL-300, PL-400, DP-600) Why Join ...

Data Engineer Birmingham - Hybrid 2 days in office per week Azure Data Warehouse SQL - PostgreSQL Fabric I am working with a client who is on a journey to transform how data powers decision-making across the business. They are building an Azure data warehouse and are looking for a skilled … Looking For Strong experience in data engineering, ideally at senior level. Hands-on expertise with Azure Data Factory and Microsoft Fabric. Advanced SQL skills and data modelling experience. Familiarity with CI/CD pipelines and API integrations. Excellent problem-solving and communication skills. Bonus Points For Power BI experience. Knowledge ...

Lakehouse, Data Factory, Notebooks, Dataflow Gen2, and OneLake. Utilise Azure Data Services including Azure Databricks, Azure Data Factory, Azure Synapse Analytics, and Azure SQL to enhance data solutions. Implement robust data models and develop efficient ETL/ELT processes using SQL and Azure Data Factory/Dataflow Gen2. Design, develop … dashboards, including writing complex DAX formulas and utilising Power Query. Use Python/PySpark for data manipulation, analysis, and automation, alongside advanced T-SQL for database management. Monitor, troubleshoot, and optimise data pipeline and storage performance within the Microsoft Fabric ecosystem. Collaborate effectively within a team to ensure data quality ...

.NET Engineer with solid data and reporting experience to support enhancements to an existing BSIS reporting system and help reverse-engineer legacy reports and SQL logic. This is a 6-month contract (Inside IR35) with a strong likelihood of extension. Candidates must be UK-based and eligible for BPSS clearance. … procedures, and contributing to continuous improvement across the platform. Key Responsibilities Deliver enhancements to an established BSIS reporting system Reverse-engineer and understand existing SQL Server stored procedures and business logic Develop and maintain C#/.NET applications and reporting components Build and maintain CI/CD processes within ...

have: Hands-on experience creating data pipelines using Azure services such as Synapse and Data Factory. Reporting experience with Power BI. Strong understanding of SQL, Python, or PySpark. Knowledge of the Azure data platform including Azure Data Lake Storage, Azure SQL Data Warehouse, or Azure Databricks. Some of the package ...

DevOps Engineer - FinTech - Newcastle (Tech stack: DevOps Engineer, PowerShell, C#, Java, Python, Ansible, Terraform, Docker, Kubernetes, Docker Swarm, ELK, Grafana, CI/CD, TeamCity, SQL Server, Windows, Linux, Programmer, Developer, Architect, DevOps Engineer) Our client is a cutting-edge FinTech company with a reputation for innovation and excellence. They design … solutions (e.g., ELK, Grafana, or similar). Proven track record in building and maintaining CI/CD pipelines, preferably with TeamCity. Experience working with SQL databases, particularly Microsoft SQL Server. Comfort managing both Windows and Linux environments. The ability to communicate clearly with colleagues and clients to resolve challenges ...

create data models. Microsoft/Office 365 with a particular specialism with Excel to an advanced level. RDBMS systems, such as Oracle or SQL Server SQL Scripting Customer facing skills, able to engage to stakeholders autonomously to collaborate. Nice to Have/Not Essential Wider appreciation of Microsoft BI tools ...

commerce and/or financial services business Ability to use Docker and container orchestration tools AWS cloud infrastructure including AWS CDK MS SQL No SQL database such as Mongo AI Tools such as CoPilot, Snowflake Cortex About us AJ Bell is one of the fastest-growing investment platform businesses ...

model lifecycle management . Proficiency in JavaScript , Power Fx , and integration with APIs. Familiarity with Azure Cognitive Services and Dataverse . Good knowledge of SQL and data handling. Key Responsibilities Develop and implement AI models using Microsoft AI Builder within Power Apps and Power Automate. Build and integrate predictive models ...

ongoing data quality, governance and process improvement initiatives Skills & Experience Required Strong experience with Power BI (DAX, data modelling and dashboard development) Confident using SQL for data extraction and manipulation Experience working with API-driven data sources Ability to present insights clearly to non-technical stakeholders Understanding of data architecture ...

processes. Provide ad-hoc support for data engineering tasks to ensure reliability and availability of critical datasets. Key Requirements: Strong experience in Power BI, SQL, and Python is essential. Experience with Azure and Microsoft Fabric. Knowledge of BI engineering concepts, including data modelling, ETL, pipelines, and backend data management. Experience ...

PyTorch). Expertise in multi-cloud environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data engineering principles , SQL, and distributed computing frameworks (Spark, Hadoop). Experience in consulting or client-facing roles , with ability to manage stakeholders and deliver strategic insights. Strong knowledge ...

PyTorch). Expertise in multi-cloud environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data engineering principles , SQL, and distributed computing frameworks (Spark, Hadoop). Experience in consulting or client-facing roles , with ability to manage stakeholders and deliver strategic insights. Strong knowledge ...

Python, Java, or Scala. Experience with cloud platforms like Azure. Knowledge of big data technologies such as Hadoop, Spark, or Kafka. Proficiency in SQL and database management systems. Familiarity with data warehousing concepts and tools. Ability to work collaboratively with cross-functional teams. A solid understanding of data security ...

financial services, banking, insurance, pensions or fintech. Strong analytical and problem-solving skills, with the ability to interpret and manipulate large datasets. Proficiency in SQL is essential; experience with Python or R is advantageous. Experience with data visualisation tools (Power BI, Tableau, Qlik or similar). Strong understanding of data ...

deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming ...

industry. About our Graduate Data Engineer: The ideal candidate will have good knowledge and experience in RDBMS and data modelling with Python, Oracle, SQL or Azure. You have experience designing and building scalable data pipelines, working with distributed Big Data systems, and delivering cloud-based solutions. You are familiar with ...